170 citations · 476 across the 13 of their papers we have counts for
4 papers · 1 filter
On Learning Disentangled Representations for Gait Recognition
Ziyuan Zhang, Luan Tran, Feng Liu +1
Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models a…
Towards High-fidelity Nonlinear 3D Face Morphable Model
Luan Tran, Feng Liu, Xiaoming Liu
Embedding 3D morphable basis functions into deep neural networks opens great potential for models with better representation power. However, to faithfully learn those models from a…
Gait Recognition via Disentangled Representation Learning
Ziyuan Zhang, Luan Tran, Xi Yin +4
Gait, the walking pattern of individuals, is one of the most important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body mod…
3D Face Modeling From Diverse Raw Scan Data
Feng Liu, Luan Tran, Xiaoming Liu
Traditional 3D face models learn a latent representation of faces using linear subspaces from limited scans of a single database. The main roadblock of building a large-scale face…